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boofcv.alg.tracker.sfot.SfotConfig Maven / Gradle / Ivy
/*
* Copyright (c) 2011-2013, Peter Abeles. All Rights Reserved.
*
* This file is part of BoofCV (http://boofcv.org).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package boofcv.alg.tracker.sfot;
import boofcv.abst.filter.derivative.ImageGradient;
import boofcv.alg.filter.derivative.GImageDerivativeOps;
import boofcv.alg.tracker.klt.KltConfig;
import boofcv.factory.filter.derivative.FactoryDerivative;
import boofcv.struct.image.ImageSingleBand;
/**
* fContains configuration parameters for {@link SparseFlowObjectTracker}.
*
* @author Peter Abeles
*/
public class SfotConfig {
public Class imageType;
public Class derivType;
/**
* Random seed used by random number generator
*/
public long randSeed = 0xFEED;
/**
* Number of iterative cycles used by LeastMedianOfSquares
*/
public int robustCycles = 50;
/**
* Maximum allowed error in pixels when performing robust model fitting using LeastMedianOfSquares
*/
public double robustMaxError = 10;
public int trackerFeatureRadius = 5;
/**
* Number of points it samples along one side of the grid.
*/
public int numberOfSamples = 15;
/**
* Maximum allowed forward-backwards error in pixels
*/
public double maximumErrorFB = 10;
/**
* Basic parameters for tracker. KltConfig.createDefault() with maxIterations = 50 is suggested.
*/
public KltConfig trackerConfig;
ImageGradient gradient;
/**
* Creates a configuration using default values.
* @param imageType Type of gray-scale image it processes.
*/
public SfotConfig( Class imageType) {
this.imageType = imageType;
this.derivType = GImageDerivativeOps.getDerivativeType(imageType);
gradient = FactoryDerivative.sobel(imageType, derivType);
trackerConfig = new KltConfig();
trackerConfig.maxIterations = 50;
}
public SfotConfig() {
}
}
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